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    Home / Central Data Catalog / MMR_2015_MPLCS_V01_M / variable [F2]
central

Poverty and Living Conditions Survey 2014-2015

Myanmar, 2015
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Reference ID
MMR_2015_MPLCS_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
22853
Downloads
271
  • Study Description
  • Data Dictionary
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  • Data files
  • 01_world_bank_mplcs-hh_all_data_set.dta
  • 02_world_bank_mplcs-hh_member.dta
  • 03_world_bank_mplcs-hh_3b_health_care.dta
  • 04_world_bank_mplcs-hh_q5b_remittance.dta
  • 05_world_bank_mplcs-hh_sec-7_hh_assets.dta
  • 07_world_bank_mplcs-hh_sec-8b_non_food_consumption_last_30_days.dta
  • 08_world_bank_mplcs-hh_sec-8c_non_food_expenditure_in_6_months.dta
  • 09_world_bank_mplcs-hh_sec-8c_non_food_expenditure_in_12_months.dta
  • 10_world_bank_mplcs-hh_sec-9b_non_farm_enterprise.dta
  • 11_world_bank_mplcs-hh_sec-10a_parcel.dta
  • 12_world_bank_mplcs-hh_sec-10b_inputs.dta
  • 13_world_bank_mplcs-hh_sec-10c_labour.dta
  • 14_world_bank_mplcs-hh_sec-10d_harvest_&_crop_disposition.dta
  • 15_world_bank_mplcs-hh_sec-10e_livestock.dta
  • 16_world_bank_mplcs-hh_sec-10f_machinery_&_equip.dta
  • 17_world_bank_mplcs-hh_sec-10g_boat.dta
  • 18_world_bank_mplcs-hh_sec-10g_assets.dta
  • 19_world_bank_mplcs-hh_sec-11a_loans.dta
  • MPLCS_povdata.dta
  • 06_world_bank_mplcs-hh_sec-8a_food_consumption.dta

Q1.18.Name of region/state/country [Name] moved from (q1_18)

Data file: 02_world_bank_mplcs-hh_member.dta

Overview

Valid: 3068
Invalid: 13583
Minimum: 1
Maximum: 28
Type: Discrete
Decimal: 0
Start: 98
End: 99
Width: 2
Range: 1 - 28
Format: Numeric

Questions and instructions

Literal question
In which region/ state or country was the place you/ [NAME] moved from?
Categories
Value Category Cases
1 Sagaing region 165
5.4%
2 Thanitaryi region 140
4.6%
3 Bago region 278
9.1%
4 Magway region 176
5.7%
5 Mandalay region 274
8.9%
6 Yangon region 786
25.6%
7 Ayeyawardy region 432
14.1%
8 Kachin state 77
2.5%
9 Kayah state 16
0.5%
10 Kayin state 62
2%
11 Chin state 44
1.4%
12 Mon state 82
2.7%
13 Rakhine state 260
8.5%
14 Shan state 219
7.1%
15 Naypitaw region 22
0.7%
21 Thailand 25
0.8%
22 Malaysia 1
0%
23 Singapore 5
0.2%
24 India 1
0%
25 Korea 0
0%
26 Japan 0
0%
27 China 2
0.1%
28 Phillippines 1
0%
29 usa 0
0%
30 Australia 0
0%
31 Other 0
0%
Sysmiss 13583
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Question post text
If code 21,22,23,24,25,26,27,28,29,30 and 31, skip to Q20.
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